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ML engineer · full-stack builder · Toronto, 17

I build end-to-end systems across machine learning, full-stack web, and quantitative trading. I specialize in biomedical signal processing, applied ML, and AI-powered platforms - shipping complete systems from data to deployment.

Portfolio  ·  LinkedIn


MyMurry AI-powered active recall platform. GPT-4o scoring, 21+ REST endpoints, 9 DB models, i18n (EN/FR/ES)
Quant-Trading 23 trading strategies, 5 live. Kalman filter crossover, ~2,140 backtested param combos, live S&P 500 scanner
myojam  ·  Visit Website Open-source EMG gesture classification. 84.85% cross-subject accuracy on Ninapro DB5, full-stack platform with 8 browser demos, 11 articles, and educator lesson plans
Machine-Learning-Series 4 end-to-end ML notebooks, 614 cells. Stacked ensemble 97.0% accuracy, R² = 0.9893 regression, interpretability pipeline with LIME

Python React TypeScript scikit-learn FastAPI Next.js PostgreSQL

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ML engineer · full-stack builder · Toronto

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